A Dynamic Risk Assessment Method for Deep-Buried Tunnels Based on a Bayesian Network
In view of the shortcomings in the risk assessment of deep-buried tunnels, a dynamic risk assessment method based on a Bayesian network is proposed. According to case statistics, a total of 12 specific risk rating factors are obtained and divided into three types: objective factors, subjective facto...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2020-01-01
|
Series: | Geofluids |
Online Access: | http://dx.doi.org/10.1155/2020/8848860 |